专题:重大突发疫情风险研判与决策

公共卫生领域多本体知识融合方法及其实证研究*

  • 宋培彦 王晋明
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  • 1.天津师范大学管理学院
宋培彦,男,天津师范大学管理学院副研究馆员,硕士生导师,研究方向:知识组织、自然语言处理、图书情报学;王晋明,男,天津师范大学管理学院硕士研究生,研究方向:数据管理、政府信息资源管理与应急信息服务。

网络出版日期: 2022-05-18

基金资助

*本文系国家社会科学基金国家应急管理体系建设研究专项项目“基于信息聚合和知识发现的突发重大公共卫生事件风险研判与决策协同机制研究”(项目编号:20VYJ062)研究成果之一。

Multi Ontology Knowledge Fusion Method and its Empirical Research in Public Health

  • Song Peiyan Wang Jinming
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Online published: 2022-05-18

摘要

对公共卫生领域多本体进行融合,快速构建综合本体,形成重大突发公共卫生事件知识库,有助于为应急决策提供专业化的知识服务。文章在复用疫苗本体、人类疾病本体、症状本体的基础上,首先进行本体的形式合并,然后利用Word2vec方法和Owlready2功能模块完成本体语义融合,实现公共卫生领域多本体融合。实验表明,所构建的综合本体语义关系准确度较高,能够从多维度视角对公共卫生领域知识进行表示,为有效应对突发重大公共卫生事件风险提供决策参考。

本文引用格式

宋培彦 王晋明 . 公共卫生领域多本体知识融合方法及其实证研究*[J]. 图书与情报, 2021 , 41(05) : 39 -45 . DOI: 10.11968/tsyqb.1003-6938.2021071

Abstract

Multiple ontology in the field of public health have been integrated to a comprehensive knowledge base for major public health emergencies, especially in decision-making. Based on the reuse of Vaccine Ontology, Human Disease Ontology, and Symptom Ontology, on one hand, the formal merging of ontology is completed with the help of Protégé ontology editing tool, and on the other hand, the semantic fusion of ontology is completed by using Word2vec and Owlready2 to achieve the overall fusion of multiple ontology in the public health domain. The experiments indicated that the comprehensive ontology constructed by this method has high accuracy of semantic relationships and represent knowledge in the public health domain from a multidimensional perspective, providing decision support in the process of effective response to the risk of major public health emergencies.
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